Correlation with Matrix TableCorrelation coefficient is a measure of the strength of the relationship between two values. It can be useful for market analysis, cryptocurrencies, forex and much more.
Since it "describes the degree to which two series tend to deviate from their moving average values" (1), first of all you have to set the length of these moving averages. You can also retrieve the values from another timeframe, and choose whether or not to ignore the gaps.
After selecting the reference ticker, which is not dependent from the chart you are on, you can choose up to eight other tickers to relate to it. The provided matrix table will then give you a deeper insight through all of the correlations between the chosen symbols.
Correlation values are scored on a scale from 1 to -1
A value of 1 means the correlation between the values is perfect.
A value of 0 means that there is no correlation at all.
A value of -1 indicates that the correlation is perfectly opposite.
For a better view at a glance, eight level colors are available and it is possible to modify them at will. You can even change level ranges by setting their threshold values. The background color of the matrix's cells will change accordingly to all of these choices.
The default threshold values, commonly used in statistics, are as follows:
None to weak correlation: 0 - 0.3
Weak to moderate correlation: 0.3 - 0.5
Moderate to high correlation: 0.5 - 0.7
High to perfect correlation: 0.7 - 1
Remember to be careful about spurious correlations, which are strong correlations without a real causal relationship.
(1) www.tradingview.com
Recherche dans les scripts pour "deep股票代码"
Chart gain/lossThis script is published by trading-view and i am just publishing for help people to understand marker in deep, please back taste any kind of strategy before applying in real market / live trade before trading/investing,..
Thank you trading view
Price Action Top/BottomThis script is a variation from Auto Fibo retration.
It makrs top and bottom prices. You can use to study the price action.
The user can choose the line color, to show or not, the marks green and red
The user can choose the minimal candles between top and bottom, by default is 17
The deep is the percentage of the diference about the last bottom/top from the previous one.
LNL Pullback ArrowsBuying the dip has never been easier! LNL Pullback Arrows are here to pinpoint the best possible entries for the trend following setups. With the Pullback Arrows, trader can pick his own approach and risk level thanks to four different types of arrows. The goal of these arrows is to force the traders to scale in & out of trades which is in my opinion crucial when it comes to trend following strategies. These arrows were designed primarily for the daily & weekly time frame (swing trading).
Four Types of Pullback Arrows:
1. Aggro Arrows - Ideal for aggresive approach during parabolic trends. Sometimes trends are so strong that the price barely revisits the daily 8 EMA. This is where the aggro arrows can perfectly pinpoint the aggresive high risk entries. Ideal for halfsize or 1/4 size of the full position. Aiming for quick 1-2 day moves targeting the recent high/low. These arrows could be also named as scalping arrows for the swing traders. A quick In & Out.
2. HalfSize Arrows - Medium risk approach. First arrows to scale in. HalfSize arrows are the first sign that the pullback might be ending, yet there is still some space left for an even deeper pullback. That is the reason why they are called half-size. Ideally taken with half-sized position. When trading the HalfSize Arrows, It is better to have some "spare ammo in the gun" ready to use.
3. FullSize Arrows - Regular risk approach. These arrows represent a zone where the core of the posititon should be taken. The point of validity for the trend is not that far away, meaning the risk can be kept tight. Ideal for scailing the other halfs or quarters of the full position. Also great for more conservative traders or environments with higher volatility.
4. Rare Arrows - Offer the best risk to reward entries during the trend. Rare Arrows should be the "last kick" of the retracement, therefore stops can be positioned really tight. They either trigger the stop immidiately or they provide another juicy leg up or down in the direction of the trend. However, they really do appear rarely.
Simple EMA Cloud:
A simple cloud based on 21 and 55 exponential moving averages. This default length creates a pullback zone that is wide enough for the conservative traders but also give the opportunities to more aggresive traders. Alternatives such as 8 & 21, or 21 & 34 are forming the zone that is too aggresive and usually too thin. Of course, cloud can be fully adjusted or turned off completely. The only role of the cloud is to gauge the trend.
Tips & Tricks:
1.Importance of the Scailing
- As already stated, scailing is crucial to this since there is no way of knowing the exact level at which the price magically bounce every time. It is hard to tell where and which EMA will be respected. How can we know it will be 21 EMA every time? or 34 EMA or 10 EMA or 100 SMA or 50 DMA ... Single MA does not make a trend. This is the reason why scailing is so important. Scailing can make a difference.
2. Nothing is Perfect
- Same as any other study, nothing works 100% perfectly. Sometimes the setup will go right against you and sometimes the price will fade away sideways and breaks off the structure of the trend. This is not a magic certainty tool. This is just another probability tool.
3. Point of Validity & Other Studies
- Even though the pullback arrows can be a stand-alone strategy. It is important to use other indicators that visualize the actual trend. Whether its EMA Cloud or EMAs or DMI Bars or Keltner Channels, there should be something that validates the trend, something that tells the trend is over. (Pullback Arrows are not showing the actual stops!).
Hope it helps.
Adaptivity: Measures of Dominant Cycles and Price Trend [Loxx]Adaptivity: Measures of Dominant Cycles and Price Trend is an indicator that outputs adaptive lengths using various methods for dominant cycle and price trend timeframe adaptivity. While the information output from this indicator might be useful for the average trader in one off circumstances, this indicator is really meant for those need a quick comparison of dynamic length outputs who wish to fine turn algorithms and/or create adaptive indicators.
This indicator compares adaptive output lengths of all publicly known adaptive measures. Additional adaptive measures will be added as they are discovered and made public.
The first released of this indicator includes 6 measures. An additional three measures will be added with updates. Please check back regularly for new measures.
Ehers:
Autocorrelation Periodogram
Band-pass
Instantaneous Cycle
Hilbert Transformer
Dual Differentiator
Phase Accumulation (future release)
Homodyne (future release)
Jurik:
Composite Fractal Behavior (CFB)
Adam White:
Veritical Horizontal Filter (VHF) (future release)
What is an adaptive cycle, and what is Ehlers Autocorrelation Periodogram Algorithm?
From his Ehlers' book Cycle Analytics for Traders Advanced Technical Trading Concepts by John F. Ehlers , 2013, page 135:
"Adaptive filters can have several different meanings. For example, Perry Kaufman's adaptive moving average (KAMA) and Tushar Chande's variable index dynamic average (VIDYA) adapt to changes in volatility . By definition, these filters are reactive to price changes, and therefore they close the barn door after the horse is gone.The adaptive filters discussed in this chapter are the familiar Stochastic , relative strength index (RSI), commodity channel index (CCI), and band-pass filter.The key parameter in each case is the look-back period used to calculate the indicator. This look-back period is commonly a fixed value. However, since the measured cycle period is changing, it makes sense to adapt these indicators to the measured cycle period. When tradable market cycles are observed, they tend to persist for a short while.Therefore, by tuning the indicators to the measure cycle period they are optimized for current conditions and can even have predictive characteristics.
The dominant cycle period is measured using the Autocorrelation Periodogram Algorithm. That dominant cycle dynamically sets the look-back period for the indicators. I employ my own streamlined computation for the indicators that provide smoother and easier to interpret outputs than traditional methods. Further, the indicator codes have been modified to remove the effects of spectral dilation.This basically creates a whole new set of indicators for your trading arsenal."
What is this Hilbert Transformer?
An analytic signal allows for time-variable parameters and is a generalization of the phasor concept, which is restricted to time-invariant amplitude, phase, and frequency. The analytic representation of a real-valued function or signal facilitates many mathematical manipulations of the signal. For example, computing the phase of a signal or the power in the wave is much simpler using analytic signals.
The Hilbert transformer is the technique to create an analytic signal from a real one. The conventional Hilbert transformer is theoretically an infinite-length FIR filter. Even when the filter length is truncated to a useful but finite length, the induced lag is far too large to make the transformer useful for trading.
From his Ehlers' book Cycle Analytics for Traders Advanced Technical Trading Concepts by John F. Ehlers , 2013, pages 186-187:
"I want to emphasize that the only reason for including this section is for completeness. Unless you are interested in research, I suggest you skip this section entirely. To further emphasize my point, do not use the code for trading. A vastly superior approach to compute the dominant cycle in the price data is the autocorrelation periodogram. The code is included because the reader may be able to capitalize on the algorithms in a way that I do not see. All the algorithms encapsulated in the code operate reasonably well on theoretical waveforms that have no noise component. My conjecture at this time is that the sample-to-sample noise simply swamps the computation of the rate change of phase, and therefore the resulting calculations to find the dominant cycle are basically worthless.The imaginary component of the Hilbert transformer cannot be smoothed as was done in the Hilbert transformer indicator because the smoothing destroys the orthogonality of the imaginary component."
What is the Dual Differentiator, a subset of Hilbert Transformer?
From his Ehlers' book Cycle Analytics for Traders Advanced Technical Trading Concepts by John F. Ehlers , 2013, page 187:
"The first algorithm to compute the dominant cycle is called the dual differentiator. In this case, the phase angle is computed from the analytic signal as the arctangent of the ratio of the imaginary component to the real component. Further, the angular frequency is defined as the rate change of phase. We can use these facts to derive the cycle period."
What is the Phase Accumulation, a subset of Hilbert Transformer?
From his Ehlers' book Cycle Analytics for Traders Advanced Technical Trading Concepts by John F. Ehlers , 2013, page 189:
"The next algorithm to compute the dominant cycle is the phase accumulation method. The phase accumulation method of computing the dominant cycle is perhaps the easiest to comprehend. In this technique, we measure the phase at each sample by taking the arctangent of the ratio of the quadrature component to the in-phase component. A delta phase is generated by taking the difference of the phase between successive samples. At each sample we can then look backwards, adding up the delta phases.When the sum of the delta phases reaches 360 degrees, we must have passed through one full cycle, on average.The process is repeated for each new sample.
The phase accumulation method of cycle measurement always uses one full cycle's worth of historical data.This is both an advantage and a disadvantage.The advantage is the lag in obtaining the answer scales directly with the cycle period.That is, the measurement of a short cycle period has less lag than the measurement of a longer cycle period. However, the number of samples used in making the measurement means the averaging period is variable with cycle period. longer averaging reduces the noise level compared to the signal.Therefore, shorter cycle periods necessarily have a higher out- put signal-to-noise ratio."
What is the Homodyne, a subset of Hilbert Transformer?
From his Ehlers' book Cycle Analytics for Traders Advanced Technical Trading Concepts by John F. Ehlers , 2013, page 192:
"The third algorithm for computing the dominant cycle is the homodyne approach. Homodyne means the signal is multiplied by itself. More precisely, we want to multiply the signal of the current bar with the complex value of the signal one bar ago. The complex conjugate is, by definition, a complex number whose sign of the imaginary component has been reversed."
What is the Instantaneous Cycle?
The Instantaneous Cycle Period Measurement was authored by John Ehlers; it is built upon his Hilbert Transform Indicator.
From his Ehlers' book Cybernetic Analysis for Stocks and Futures: Cutting-Edge DSP Technology to Improve Your Trading by John F. Ehlers, 2004, page 107:
"It is obvious that cycles exist in the market. They can be found on any chart by the most casual observer. What is not so clear is how to identify those cycles in real time and how to take advantage of their existence. When Welles Wilder first introduced the relative strength index (rsi), I was curious as to why he selected 14 bars as the basis of his calculations. I reasoned that if i knew the correct market conditions, then i could make indicators such as the rsi adaptive to those conditions. Cycles were the answer. I knew cycles could be measured. Once i had the cyclic measurement, a host of automatically adaptive indicators could follow.
Measurement of market cycles is not easy. The signal-to-noise ratio is often very low, making measurement difficult even using a good measurement technique. Additionally, the measurements theoretically involve simultaneously solving a triple infinity of parameter values. The parameters required for the general solutions were frequency, amplitude, and phase. Some standard engineering tools, like fast fourier transforms (ffs), are simply not appropriate for measuring market cycles because ffts cannot simultaneously meet the stationarity constraints and produce results with reasonable resolution. Therefore i introduced maximum entropy spectral analysis (mesa) for the measurement of market cycles. This approach, originally developed to interpret seismographic information for oil exploration, produces high-resolution outputs with an exceptionally short amount of information. A short data length improves the probability of having nearly stationary data. Stationary data means that frequency and amplitude are constant over the length of the data. I noticed over the years that the cycles were ephemeral. Their periods would be continuously increasing and decreasing. Their amplitudes also were changing, giving variable signal-to-noise ratio conditions. Although all this is going on with the cyclic components, the enduring characteristic is that generally only one tradable cycle at a time is present for the data set being used. I prefer the term dominant cycle to denote that one component. The assumption that there is only one cycle in the data collapses the difficulty of the measurement process dramatically."
What is the Band-pass Cycle?
From his Ehlers' book Cycle Analytics for Traders Advanced Technical Trading Concepts by John F. Ehlers , 2013, page 47:
"Perhaps the least appreciated and most underutilized filter in technical analysis is the band-pass filter. The band-pass filter simultaneously diminishes the amplitude at low frequencies, qualifying it as a detrender, and diminishes the amplitude at high frequencies, qualifying it as a data smoother. It passes only those frequency components from input to output in which the trader is interested. The filtering produced by a band-pass filter is superior because the rejection in the stop bands is related to its bandwidth. The degree of rejection of undesired frequency components is called selectivity. The band-stop filter is the dual of the band-pass filter. It rejects a band of frequency components as a notch at the output and passes all other frequency components virtually unattenuated. Since the bandwidth of the deep rejection in the notch is relatively narrow and since the spectrum of market cycles is relatively broad due to systemic noise, the band-stop filter has little application in trading."
From his Ehlers' book Cycle Analytics for Traders Advanced Technical Trading Concepts by John F. Ehlers , 2013, page 59:
"The band-pass filter can be used as a relatively simple measurement of the dominant cycle. A cycle is complete when the waveform crosses zero two times from the last zero crossing. Therefore, each successive zero crossing of the indicator marks a half cycle period. We can establish the dominant cycle period as twice the spacing between successive zero crossings."
What is Composite Fractal Behavior (CFB)?
All around you mechanisms adjust themselves to their environment. From simple thermostats that react to air temperature to computer chips in modern cars that respond to changes in engine temperature, r.p.m.'s, torque, and throttle position. It was only a matter of time before fast desktop computers applied the mathematics of self-adjustment to systems that trade the financial markets.
Unlike basic systems with fixed formulas, an adaptive system adjusts its own equations. For example, start with a basic channel breakout system that uses the highest closing price of the last N bars as a threshold for detecting breakouts on the up side. An adaptive and improved version of this system would adjust N according to market conditions, such as momentum, price volatility or acceleration.
Since many systems are based directly or indirectly on cycles, another useful measure of market condition is the periodic length of a price chart's dominant cycle, (DC), that cycle with the greatest influence on price action.
The utility of this new DC measure was noted by author Murray Ruggiero in the January '96 issue of Futures Magazine. In it. Mr. Ruggiero used it to adaptive adjust the value of N in a channel breakout system. He then simulated trading 15 years of D-Mark futures in order to compare its performance to a similar system that had a fixed optimal value of N. The adaptive version produced 20% more profit!
This DC index utilized the popular MESA algorithm (a formulation by John Ehlers adapted from Burg's maximum entropy algorithm, MEM). Unfortunately, the DC approach is problematic when the market has no real dominant cycle momentum, because the mathematics will produce a value whether or not one actually exists! Therefore, we developed a proprietary indicator that does not presuppose the presence of market cycles. It's called CFB (Composite Fractal Behavior) and it works well whether or not the market is cyclic.
CFB examines price action for a particular fractal pattern, categorizes them by size, and then outputs a composite fractal size index. This index is smooth, timely and accurate
Essentially, CFB reveals the length of the market's trending action time frame. Long trending activity produces a large CFB index and short choppy action produces a small index value. Investors have found many applications for CFB which involve scaling other existing technical indicators adaptively, on a bar-to-bar basis.
What is VHF Adaptive Cycle?
Vertical Horizontal Filter (VHF) was created by Adam White to identify trending and ranging markets. VHF measures the level of trend activity, similar to ADX DI. Vertical Horizontal Filter does not, itself, generate trading signals, but determines whether signals are taken from trend or momentum indicators. Using this trend information, one is then able to derive an average cycle length.
Ichimoku Kinko HyoThis indicator is adding to the original indicator Ichimoku Cloud some visual informations.
Be aware of settings that are by default 10, 30, 60, while in the original indicator, default settings are 9, 26, 52. These are commonly consider like "crypto settings".
Tenkan = blue line
Kijun = orange line
SSB = red line
This indicator display three categories of signals that are given by the Ichimoku indicator:
- tenkan / kijun crosses ;
- breaks of mid prices for the different time horizon ;
- bar coloring depending of the trend
Let's review more in deep each of these elements.
Tenkan / Kijun crosses
When the tenkan crossover the kijun, this is called gold cross and it's display by a green triangle at the bottom of the chart.
When the tenkan crossunder the kijun, this is called death cross and it's display by a red triangle at the top of the chart.
I advise to not enter long or short only on this signal because it can be fake, especially during ranges.
To confirm the signal, we need to wait for a movement of the kijun in the same side of the cross. See first arrow on the chart.
Breaks of mid prices
Ichimoku is composed of three han-le lines that displays mid-price of the last candles depending on the settings (10, 30, 60).
Tenkan show us the mid-price of the last 10 candles (short term)
Kijun show us the mid-price of the last 30 candles (mid term)
SSB show us the mid-price of the last 60 candles (long term)
Break of tenkan by the price is the first signal that Ichimoku gives us before a reversal of the trend. This signal is display by a blue triangle.
Then, happened the break of kijun line follow by the break of the SSB. These are display respectively by an orange triangle and a red triangle.
Same advise, don't enter long or short only on break of these lines.
However, tenkan and kijun breaks can be used as exit point.
Bar coloring
The bar coloring display the strength of the trend:
- green candle: strong bullish trend - this happen when the current price is above tenkan, kijun and SSB ;
- blue candle: potential starting of a bullish trend - this happen when the current price is above tenkan and kijun but below the SSB ;
- no colored candle: no trend, market is in a range - this happen when the current price is above tenkan and below kijun and SSB or when the current price is below tenkan and above kijun and SSB ;
- orange candle: potential starting of a bearish trend - this happen when the current price is below tenkan and kijun but above SSB ;
- red candle: strong bearish trend - this happen when the current price is below tenkan, kijun and SSB
How to use to enter / exit trades
First of all, we need confirmations to enter in the side of the trend.
The first signal that the indicator gives us is the break of tenkan, follow by the break of kijun. Candles becomes blue / orange depending of the side.
Then, we wait for a cross of tenkan and kijun. This cross has to be confirmed by a movement of kijun. A flat kijun tell us this is a fake cross.
When the movement of kijun happened in the same side of the cross it is possible to enter a trade if you are aggresive.
Otherwise, you can wait for the third signal to take place: break of SSB, candle become green / red, depending on the side.
You can then enter a trade.
Then hold the position and wait to exit for break of tenkan or kijun, depending on your horizon (short / mid term).
If you have other questions or some features that are missing, pm me. Thanks.
StockBee 4% BreakoutThe Stockbee 4% Breakout script is a study tool for users who wants to do a deep dive on StockBee's 4% Breakout momentum burst method. This script will assist a specific group of traders who trade this method easily find historical momentum bursts. This script finds and colors red any candle body that meets the following criteria:
1. Volume of the candle is greater than the previous candle volume.
2. The percent change of candle's price is greater than 4% from the previous candle close.
3. Current candle close is less than 30% from candle's high.
This script also filters out any candle that gaps up and breaks down with a close above 4% the previous candle (Eliminates gap-ups that fade). This tool is meant to find and filter possible candidates. Not every marked candle is a great momentum burst trade.
This is very helpful for Trading View users trading this specific setup.
Hayden's Advanced Relative Strength Index (RSI)Preface: I'm just the bartender serving today's freshly blended concoction; I'd like to send a massive THANK YOU to @iFuSiiOnzZ, @Koalafied_3, @LonesomeTheBlue, @LazyBear, @dgtrd and the rest of the PineWizards for the locally-sourced ingredients. I am simply a code editor, not a code author. The book that inspired this indicator is a free download, plus all of the pieces I used were free code from the PineWizards; my hope is that any additional useful development of The Complete RSI trading system also is offered open-source to the community for collaboration.
Features: Fixed & Custom price targeting. Triple trend state detection. Advanced data ticker. Candles, bars, or line RSI . Stochastic of over 20 indicators for adjustable entry/exit signals. Customizable trader watermark. Trend lines for spotting wedges , triangles, pennants , etc. Divergences for spotting potential reversals and Momentum Discrepancy Reversal Point opportunities. RSI percent change and price pivot labels. Gradient bar coloring on-chart.
‼ IMPORTANT: Hover over labels for additional information. Google & read John Hayden's "The Complete RSI" pdf book for comprehensive instructions before attempting to trade with this indicator. Always keep an eye on higher/stronger timeframes.
⚠ DISCLAIMER: DYOR. Not financial advice. Not a trading system. I am not affiliated with TradingView or John Hayden; this is my own personally PineScripted presentation of a suitable RSI to use when trading according to Hayden's rules.
About the Editor: I am a former-FINRA Registered Representative, inventor/patent-holder, and self-taught PineScripter. I mostly code on a v3 Pinescript level so expect heavy scripts that could use some shortening with modern conventions.
Hayden's RSI Rules:
📈 An Uptrend is indicated when:
1. RSI is in the 80 to 40 range
2. The chart shows simple bearish divergence
3. The chart shows Hidden bullish divergence
4. The chart shows Momentum Discrepancy Reversal Up
5. Upside targets being hit
6. 9-bar simple MA is greater than the 45-bar EMA on RSI
7. Counter-trend declines do not exceed 50% of the previous rally
🔮 An Uptrend is in danger when:
1. Longer timeframe fading rally
2. a) Multiple long-term bearish divergences. b) Upside targets not being hit.
3. 9-bar simple MA is less than the 45-bar EMA on RSI
4. Hidden bearish divergence, or simple bullish divergence
5. Deep counter-trend retracements greater than 50%
📉 A Downtrend is indicated when:
1. RSI is in the 60 to 20 range
2. The chart shows simple bullish divergences.
3. The chart shows Hidden bearish divergence
4. The chart shows Momentum Discrepancy Reversal Down
5. Downside targets being hit
6. 9-bar simple MA is less than the 45-bar EMA on RSI
7. Counter-trend rallies do not exceed 50% of the previous decline
🔮 A Downtrend is in danger when:
1. Longer timeframe fading decline
2. a) Multiple long-term bullish divergences. b) Downside targets not being hit.
3. 9-bar simple MA is greater than the 45-bar EMA on RSI
4. Hidden bullish divergence , or simple bearish divergence
5. Steep counter-trend retracements greater than 50%
Multiple MAs + No Trend Zone + ATR WidgetThis is my first Pine Script attempt. Nothing special, just an "all in one" for the most common things I use, and what I have found to be the most common in a lot of strategies.
Great for free and limited accounts as it combines 7 total indicators into one.
-- First 5 indicators are Independant Moving Averages:
-Each one can be set for length, as well as source and type (SMA, EMA, SMMA, WMA, VWMA) individually
-- Second type (6th) of indicator is one I find extremly useful for staying OUT of consolidation trading. It's called a "No Trend Zone" indicator I swipped from the Hoffman Startegy. Basically, its set for a small deviation (0.5) of a 35 EMA, which creates a "Band" around the 35 line. When you have this "Band" flat or with no discernable incline/decline, with price action OR some or multiple moving averages inside this banded zone, it typically indicates a zone of consolidation. This will help you identify when you may be in one of those zones, that way you don't get trapped "waiting for paint to dry" before the market starts to move again with your position, and keep you from entering should you be considering the market at that time.
The last indicator is my favorite, and one I will refine a little deeper soon.
-- The ATR widget finishes us out. This widget can be customized for colors, turned on or off, and automatically rounds the ATR (ATR period based on the chart timeframe) to a nice readable number for what you're trading. It has settings to show or not, the length, what rounding style to use (forex pip 0.0001, forex/stock/etf/indicies 0.01) where to show it on the pane, a Multiplier Factor (for stop loss calculations automatically) and the colors.
***NOTE ABOUT ATR WIDGET:
I am primarily a forex trader, so the defaults are for Forex 0.0001. If you see some odd numbers (like 55798 on a current chart), check the inputs tab on the settings, and change the "ATR Style" from "Forex 0.0001" to "Forex/Stock/ETF/Indicies 0.01", and you should arrive with the correct number.
MTF Stochastic ScannerThis Stochastic scanner can be use to identify overbought and oversold of 10 symbols over multiple timeframes
it will give you a quick overview which pair is more overbough or more oversold and also signals tops and bottoms in the AVG row
light red/green cell = weak bearish (Stoch = 30-20) / bullish (Stoch = 70-80)
medium red/green cell = bearish (Stoch = 20-10) / bullish (Stoch = 80-90)
dark red/green cell = strong bearish (Stoch <= 10) / bullish (Stoch >= 90)
gray cell = neutral (Stoch = 30-70)
Usage
If AVG (average of all 4 timeframes) falls below 20, the cell will get green, indicating a good time to enter long (buy)
If AVG (average of all 4 timeframes) rises above 80, the cell will get red, indicating a good time to enter short (sell)
Use the "MTF Stochastic Scanner" in combination with the " MTF RSI Scanner "
to find tops (RSI MTF avg >=70 AND Stochastic MTF avg >= 80)
or bottoms (RSI MTF avg <= 30 AND Stochastic MTF avg <= 20)
Here is how the two MTF scanners looked on Nov 08 2021 (ATH) »
and here how the MTF scanners looked on June 21 2022
use TradingViews Replay function to check how it would have worked in the past and when not.
As always… there NOT a single indicator that can show to the top & bottom 100% every single time. So use with caution, with other indicators and/or deeper understanding of technicals analysis ☝️☝️☝️
Settings
You can change the timeframes, symbols, Stochastic settings, overbought/oversold levels and colors to your liking
Drag the table onto the price chart, if you want to use it as an overlay.
NOTE:
Because of the 4x10 security requests, it can take up to 1 minute for changed settings to take effect! Please be patient 🙃
If you have any idea on how to optimise the code, please feel free to share 🙏
*** Inspired by "Binance CHOP Dashboard" from @Cazimiro and "RSI MTF Table" from @mobester16 ***
MTF RSI ScannerThis RSI scanner can be use to identify the relative strength of 10 symbols over multiple timeframes
it will give you a quick overview which pair is more bearish or more bullish and also signals tops and bottoms in the AVG row
light red/green cell = weak bearish (RSI = 45-35) / bullish (RSI = 55-65)
medium red/green cell = bearish (RSI = 35-25) / bullish (RSI = 65-75)
dark red/green cell = strong bearish (RSI <= 25) / bullish (RSI >= 75)
gray cell = neutral (RSI= 45-55)
Usage
If AVG (average of all 4 timeframes) falls below 30, the cell will get green, indicating a good time to enter long (buy)
If AVG (average of all 4 timeframes) rises above 70, the cell will get red, indicating a good time to enter short (sell)
Use the "MTF RSI Scanner" in combination with the "MTF Stochastic Scanner"
to find tops (RSI MTF avg >=70 AND Stochastic MTF avg >= 80)
or bottoms (RSI MTF avg <= 30 AND Stochastic MTF avg <= 20)
Here is how the two MTF scanners looked on Nov 08 2021 (ATH) »
and here how the MTF scanners looked on June 21 2022
use TradingViews Replay function to check how it would have worked in the past and when not.
As always… there NOT a single indicator that can show to the top & bottom 100% every single time. So use with caution, with other indicators and/or deeper understanding of technicals analysis ☝️☝️☝️
Settings
You can change the timeframes, symbols, RSI settings, overbought/oversold levels and colors to your liking
Drag the table onto the price chart, if you want to use it as an overlay.
NOTE:
Because of the 4x10 security requests, it can take up to 1 minute for changed settings to take effect! Please be patient 🙃
If you have any idea on how to optimise the code, please feel free to share 🙏
*** Inspired by "Binance CHOP Dashboard" from @Cazimiro and "RSI MTF Table" from @mobester16 ***
Discounted Price ProbabilityHere is an attempt to understand the probability of discounted price of a stock by comparing it to historical price and fundamental correlation. Have made use of some of the new features of pine in developing this script (Such as matrix and new features of tables such as cell merge and tooltip).
Script makes use of the library written on matrix matrix
🎲 Process
Probability is measured in two angles
🎯 Absolute : Measure the percentile of price and fundamentals with respect to all time high. The difference between the two is measure of probability of stock being undervalued.
🎯 Drawdown : Measure the percentile of distance from all time high for both price and fundamentals. The difference between the two is used for depicting the probability of stock being undervalued.
🎲 Components
In short, the definitions of stats presented are as below
🎲 Settings
Settings are pretty straightforward
🎲 How to look at these stats
To Start with
Are most of the fundamental values coloured in green? If yes, it means that they are near all time high in terms of percentile.
If drawdowns of fundamental values coloured in green? If yes, it means, the stock has not suffered much drawdowns of fundamentals from its peak.
Are the percentile values of drawdowns in green? If yes, it means, that drop in fundamentals are not high compared to its previous values.
If all the above are greener, then it means, company is in strong growth space.
Example: TSLA
Even though the financial ratios of TSLA are not in par with most of the fundamentally strong stocks, it is indeed growing steadily and at its near all time high.
Lets take another example of NKLA
Here the base columns regarding fundamentals are mostly red. This means, company has suffered setback with respect to their financials and the company is not where it used to be. But, if you see the differential probabilities, it says 92% of being undervalued?
Well, this is due to the fact that NKLA's fundamentals suffered most of the time and they are always below par when compared to price. Hence, such kind of cases may interpret the stocks as undervalued. Hence, even if the probability of being undervalued is more, it does not guarantee the quality of the stock. We need to be mindful overall financials of the company and how they fare with general standards.
Moving forward
To understand value of trending stock, use Absolute Probability (marked with P). Ex. GOOG, MSFT, BRK.B etc.
To understand value of stock which has been recently suffered huge price drop, look at drawdown based probability (marked with D). Ex. BABA, FB, PYPL, SQ, ROKU etc.
Some examples of high flyers:
Some for deep pullbacks:
And the meme stocks:
Weighted Standard Deviation BandsLinearly weighted standard deviations over linearly weighted mean.
The rationale of the study can be deduced from my latest publications where I go deeper into explaining the benefits of linear weighting, but in short, I can remind that by using linear weighting we are able to increase the information gain by communicating the sequential nature of time series to the calculations via linear weighting.
Note, that multiplier parameters can take both negative and positive values resulting in ability to have, for example, 1st and 6th weighted standard deviations higher than the weighted mean.
Despite the modification of the classic standard deviation formula, I assume that mathematical qualities of standard deviation will hold due to the fact we can alternately weight the window itself, and then apply the classic standard deviation over the weighted window. In both cases, the results will be the same.
Aight that was too formal, but your short strangles should be happy
Here is it, for you
Measure Volume, Momentum, Trend, VolatilityThis script displays the following indicators in one pane to quickly determine several important factors regarding price action. It allows the user to quickly see all of most important factors surrounding price action in one pane with one quick glance. This should be incredibly helpful and allow things like double divergence and trend confirmation to be spotted much more quickly. I personally use the data in this indicator to replace four separate indicators and it has brought my win rate and profit factor significantly higher. I hadn't seen any place where all of the best J. Welles Wilder indicators such as RSI, Parabolic SAR, and DMI/ADX were brought into one easy to use interface. This is my attempt at fixing that gap. For a much deeper understanding of how to use these indicators, I recommend reading New Concepts in Technical Trading Systems written by J. Welles Wilder.
Momentum via RSI (Relative Strength Index)
Volume via MFI (Money Flow Index)
Volatility via DMI/ADX (Direction Movement Index/Average Directional Index)
Trend via Parabolic SAR (Parabolic Stop and Reverse)
It is worth noting that DMI/ADX and Parabolic SAR can both help determine trend strength and volatility.
The Volatility mechanism is measured by DMI and ADX and displayed at the top of the pane using circles. The top, tiny circles reflect if show if positive DI or negative DI has a higher value. The small circles directly underneath indicate whether or not the ADX is above 20 (configurable, some may choose to increase this to 25 or even 30).
The Momentum mechanism is shown as standard RSI with the default being a white line and default period of 14, which is all configurable.
The Volume mechanism is shown as standard MFI with the default being a fuchsia line and default period of 14, which is also configurable.
The momentum and volume oscillators should be used in conjunction to help spot whether the trend is strong or weak using divergences and the middle, overbought, and oversold levels. These levels are also configurable.
The Trend mechanism is measured by Parabolic SAR and displayed at the bottom of the pane using diamonds. The default is red diamonds when in a bear trend, green when in an uptrend which is configurable. When price is above the Parabolic SAR, it is considered to be an uptrend. When price is below the Parabolic SAR, it is considered to be a downtrend. The way price is measured is also configurable (i.e. open, close, ohlc4, hlc3, etc.). When price crossed above or below the Parabolic SAR, the diamonds will change colors.
All the indicators displayed should be used in a well rounded strategy. For instance, I only trade when ADX is above 20 and rarely trade against the trend shown via PSAR. When trend shifts and divergences helped indicate a trend shift would occur using the RSI and MFI, it can be a great spot to take an entry. RSI/MFI can also confirm the trend is strong when they are not showing divergences and inline with price action. All of this data should be used in conjunction with good fundamental data and technical levels. Divergences with RSI and MFI on double tops or bottoms can also be incredibly powerful. There is no right or wrong way to use all the data displayed in this indicator, however using all four pillars of trading (Momentum, Volume, Trend, Volatility) will help ensure only the best trades are taken.
T3 Super GuppyA Tillson T3 moving average implemented variation of the CM Super Guppy indicator by @FritzMurphy
The T3 moving average was developed by Tom Tilson which combines multiple EMAs into a single moving average. it is smoother and more responsive compared to traditional moving averages. The disadvantage is that it can overshoot price.
█ Description
T3 Super Guppy consists of 20 T3 moving averages:
• 7 fast T3 MAs
• 13 slow T3 MAs
Visuals:
• Compact view available for chart minimalists
• In compact view only 10 of the fastest T3 moving averages will be displayed
• Compact view will not affect how the colour scales with trend movement
• Ribbon transparency will automatically scale based on the display mode chosen
Colour Gradient
• The more T3 MAs that cross above or below their slower counterparts will result in how deep the chosen upTrend(Blue) or downTrend(Red) colour is displayed
• Helps to spot weakening trends or reversal signals when indicator colour starts converging into the opposite colour
• Single colour mode is available if you find the colour gradient distracting
█ Credits
@ChrisMoody original guppy idea:
@FritzMurphy super guppy format:
█ Examples
compact view:
full view:
+ Awesome OscillatorHi again. I have another indicator that I think is pretty neat.
I had the idea of creating an Awesome Oscillator for my Ultimate MA, just to see what kind of signals it might produce. If you're not familiar with my UMA you should go take a look at it, but essentially it is just an average of eight different length MAs, and if you're not familiar with the Awesome Oscillator, it is simply a comparison of the gap between two different moving averages (traditionally a 5 and 34 SMA) plotted as a histogram below the price chart. The two UMAs I was comparing in this version of the AO were the Hull and Simple. It looked okay, but I thought due to the nature of the movements of these MAs, that it was necessary to add something to this indicator in order to validate its creation and make it truly useful
I came to the idea of simply comparing the closing price of the asset on the chart to both the Awesome Oscillator moving averages. What this effectively does is gives you a representation of the moving averages on the chart (assuming you are using those same MAs) as an oscillator below the chart, enabling you to remove the moving averages from your price chart (obviously if you so choose). For me, I like this because fewer things on the chart makes it easier for me to see the price action and structure of the market clearly, or add something like a tWAP or two.
So, like, "how exactly would I use this indicator?"" you're probably asking.
First off: the Awesome Oscillator. By default it is a faintly shaded area, and is the least obvious part of the indicator.
Second: the plotted line. This is what I call the baseline (if you're familiar with NNFX, then you know what this is). It's basically your bias moving average (this means it defines, based on its lookback or length, whether momentum is bullish, bearish or ranging). In the case of the oscillator though, the ZERO line represents the baseline, and the oscillating line represents price in relation to it. If the line is above the zero line then price is above the moving average, and vice versa if it's below. The farther from the center line the baseline price is the greater the volatility,
Third: the histogram. This is the faster moving average, and same rules apply to it as your baseline. You can think of your fast moving average as a trade entry trigger, or an exit. It shows more immediate momentum shifts.
What's interesting about the relationships of all three of these things is that you don't actually NEED all three displayed. Because the Awesome Oscillator is a relation of your two moving averages, and the baseline and histogram are representational of the price relative to those two moving averages, you will notice that when the histogram (fast MA) flips up or down is the same exact time that the baseline price dips into the AO. The AO is effectively a moving average on that. So you can run this with just the AO and Baseline, or just the Baseline and fast MA histogram. To get started, I might recommend keeping your moving averages that you use on the chart just so you can see how this indicator works.
Both the fast MA and Baseline will show nice divergences (divergence indicator is added if you want to use it). And I've added Donchian Channels as upper and lower bounds that act neatly as support or resistance (especially effective if you're using my UMA with Bollinger Bands, or Magic Carpet Bands).
I've also done the usual colored candles thing, which gives you another great reason to get the moving averages off your chart. There are of course alerts for conditions that one might need to be alerted to as well.
Below are some images of different ways you might set these up using the default moving average/baseline settings. In all of these I've left the moving averages on the price chart (with the addition of a 233 SMA) so you can see the relationship between the indicators.
Right here is the indicator set up with just the awesome oscillator and baseline price. Gives a cleaner overall look. You can see that every time the baseline crosses the awesome oscillator is when price crosses the 8 SMA. Candle colors are based on if candle closes above baseline or below.
This is the indicator set up without the awesome oscillator. Here you can see candle closes over the 8 SMA (fast moving average) are shown by the histogram. Candle coloring is still the same as the above image.
This image looks identical to the first, except that the candle coloring is different. This time it is based on the 8 SMA (same as the baseline entering the awesome oscillator).
And the final example image. This one depicts the awesome oscillator and the fast moving average histogram. Candle coloring is based on the awesome oscillator. This can be a great way to visualize momentum because the awesome oscillator is depicting the crossing of the moving averages. A lot of people poo-poo moving average crosses, but I'd say they're wrong. Well, they're right and wrong. Depends on the MAs you're using. The power in moving average crosses is in their ability to show bullish or bearish momentum (or ranging behavior if they continually cross over each other). If you're using slow moving averages, then crosses are often very late (hence so many people who don't know saying, "but moving average crosses are too laggy". Here you might try changing these and having the baseline be faster than the UMA, and actually plot on chart the UMA (or some other moving average). These are just some thoughts.
Anyway, I hope this indicator proves useful to you all. I think for anyone looking to look at price action a bit more, but is used to using moving averages, this could be a really useful indicator. Most oscillating indicators (if not all) are built around moving averages, but they're never explained in such a way as I'm explaining how this one works (I don't think). I think knowing this could help many traders come to a deeper understanding of what the indicator they're using is actually doing.
Template Trailing Strategy (Backtester)💭 Overview
💢 What is the "Template Trailing Strategy” ❓
The "Template Trailing Strategy" (TTS) is a back-tester orchestration framework. It supercharges the implementation-test-evaluation lifecycle of new trading strategies, by making it possible to plug in your own trading idea.
While TTS offers a vast number of configuration settings, it primarily allows the trader to:
Test and evaluate your own trading logic that is described in terms of entry, exit, and cancellation conditions.
Define the entry and exit order types as well as their target prices when the limit, stop, or stop-limit order types are used.
Utilize a variety of options regarding the placement of the stop-loss and take-profit target(s) prices and support for well-known techniques like moving to breakeven and trailing.
Provide well-known quantity calculation methods to properly handle risk management and easily evaluate trading strategies and compare them.
Alert on each trading event or any related change through a robust and fully customizable messaging system.
All the above, build a robust tool that, once learned, significant and repetitive work that strategy developers often implement individually on every strategy script is eliminated. Taking advantage of TradingView’s built-in backtesting engine the evaluation of the trading ideas feels natural.
By utilizing the TTS one can easily swap “trading logic” by testing, evaluating, and comparing each trading idea and/or individual component of a strategy.
Finally, TTS, through its per-event alert management (and debugging) system, provides a fully automated solution that supports automated trading with real brokers via webhooks.
NOTE: The “Template Trailing Strategy” does not dictate the way you can combine different (types of) indicators or how you should combine them. Thus, it should not be confused as a “Trading System”, because it gives its user full flexibility on that end (for better or worse).
💢 What is a “Signal Indicator” ❓
“Signal Indicator” (SI) is an indicator that can output a “signal” that follows a specific convention so that the “Template Trailing Strategy” can “understand” and execute the orders accordingly. The SI realizes the core trading logic signaling to the TTS when to enter, exit, or cancel an order. A SI instructs the TTS “when” to enter or exit, and the TTS determines “how” to enter and exit the position once the Signal Indicator generates a signal.
A very simple example of a Signal Indicator might be a 200-day Simple Moving Average Signal. When the price of the security closes above the 200-day SMA, a SI would provide TTS with a “long entry signal”. Once TTS receives the “long entry signal”, the TTS will open a long position and send an alert or automated trade message via webhook to a broker, based on the Entry settings defined in TTS. If the TTS Entry settings specify a “Market” order type, then the open long position will be executed by TTS immediately. But if the TTS Entry settings specify a “Stop” order type with a 1% Stop Distance, then when the price of the security rises by 1% after the “long entry signal” occurs, the TTS will open a long position and the Long Entry alert or webhook to the broker will be sent.
🤔 How to Guide
💢 How to connect a “signal” from a “Signal Indicator” ❓
The “Template Trailing Strategy” was designed to receive external signals from a “Signal Indicator”. In this way, a “new trading idea” can be developed, configured, and evaluated separately from the TTS. Similarly, the SI can be held constant, and the trading mechanics can change in the TTS settings and back-tested to answer questions such as, “Am I better with a different stop loss placement method, what if I used a limit order instead of a stop order to enter, what if I used 25% margin instead of trading spot market?”
To make that possible by connecting an external signal indicator to TTS, you should:
Add in the same chart, the “Signal Indicator” of your choice (e.g. “Two MA Signal Indicator” , “Click Signal Indicator” , “Signal Adapter” , “Signal Composer” ) and the “Template Trailing Strategy”.
Go to the “Settings/Inputs” tab in the “🛠️ STRATEGY” group of the TTS and change the "𝐃𝐞𝐚𝐥 𝐂𝐨𝐧𝐝𝐢𝐭𝐢𝐨𝐧𝐬 𝐌𝐨𝐝𝐞" to “🔨External”
Go to the “🔨 STRATEGY – EXTERNAL” group settings of the TTS and change the “🔌𝐒𝐢𝐠𝐧𝐚𝐥 🛈➡” to the output signal of the “Signal Indicator” you want to connect. The selected combo box option should look like “:🔌Signal to TTS” where should correspond to the short title of your “Signal Indicator”
💢 How to create a Custom Trading logic ❓
The “Template Trailing Strategy” provides two ways to plug in your custom trading logic. Both of them have their advantages and disadvantages.
✍️ Develop your own Customized “Signal Indicator” 💥
The first approach is meant to be used for relatively more complex trading logic. The advantages of this approach are the full control and customization you have over the trading logic and the relatively simple configuration setup by having two scripts only. The downsides are that you have to have some experience with pinescript or you are willing to learn and experiment. You should also know the exact formula for every indicator you will use since you have to write it by yourself. Copy-pasting from existing open-source indicators will get you started quite fast though.
The idea here is either to create a new indicator script from scratch or to copy an existing non-signal indicator and make it a “Signal Indicator”. To create a new script, press the “Pine Editor” button below the chart to open the “Pine Editor” and then press the “Open” button to open the drop-down menu with the templates. Select the “New Indicator” option. Add it to your chart to copy an existing indicator and press the source code {} button. Its source code will be shown in the “Pine Editor” with a warning on top stating that this is a read-only script. Press the “create a working copy”. Now you can give a descriptive title and a short title to your script, and you can work on (or copy-paste) the (other) indicators of your interest. Having all the information needed to make your decision the only thing you should do is define a DealConditions object and plot it like this:
import jason5480/tts_convention/4 as conv
// Calculate the start, end, cancel start, cancel end conditions
dealConditions = conv.DealConditions.new(
startLongDeal = ,
startShortDeal = ,
endLongDeal = ,
endShortDeal = ,
cnlStartLongDeal = ,
cnlStartShortDeal = ,
cnlEndLongDeal = ,
cnlEndShortDeal = )
// Use this signal in scripts like "Template Trailing Strategy" and "Signal Composer" that can use its value
// Emit the current signal value according to the "two channels mod div" convention
plot(series = conv.getSignal(dealConditions), title = '🔌Signal to TTS', color = color.olive, display = display.data_window + display.status_line, precision = 0)
You should write your deal conditions appropriately based on your trading logic and put them in the code section shown above by replacing the “…” part after “=”. You can omit the conditions that are not relevant to your logic. For example, if you use only market orders for entering and exiting your positions the cnlStartLongDeal, cnlStartShortDeal, cnlEndLongDeal, and cnlEndShortDeal are irrelevant to your case and can be safely omitted from the DealConditions object. After successfully compiling your new custom SI script add it to the same chart with the TTS by pressing the “Add to chart” button. If all goes well, you will be able to connect your “signal” to the TTS as described in the “How to connect a “signal” from a “Signal Indicator”?” guide.
🧩 Adapt and Combine existing non-signal indicators 💥
The second approach is meant to be used for relatively simple trading logic. The advantages of this approach are the lack of pine script and coding experience needed and the fact that it can be used with closed-source indicators as long as the decision-making part is displayed as a line in the chart. The drawback is that you have to have a subscription that supports the “indicator on indicator” feature so you can connect the output of one indicator as an input to another indicator. Please check if your plan supports that feature here
To plug in your own logic that way you have to add your indicator(s) of preference in the chart and then add the “Signal Adapter” script in the same chart as well. This script is a “Signal Indicator” that can be used as a proxy to define your custom logic in the CONDITIONS group of the “Settings/Inputs” tab after defining your inputs from your preferred indicators in the VARIABLES group. Then a “signal” will be produced, if your logic is simple enough it can be directly connected to the TTS that is also added to the same chart for execution. Check the “How to connect a “signal” from a “Signal Indicator”?” in the “🤔 How to Guide“ for more information.
If your logic is slightly more complicated, you can add a second “Signal Adapter” in your chart. Then you should add the “Signal Composer” in the same chart, go to the SIGNALS group of the “Settings/Inputs” tab, and connect the “signals” from the “Signal Adapters”. “Signal Composer” is also a SI so its composed “signal” can be connected to the TTS the same way it is described in the “How to connect a “signal” from a “Signal Indicator”?” guide.
At this point, due to the composability of the framework, you can add an arbitrary number (bounded by your subscription of course) of “Signal Adapters” and “Signal Composers” before connecting the final “signal” to the TTS.
💢 How to set up ⏰Alerts ❓
The “Template Trailing Strategy” provides a fully customizable per-even alert mechanism. This means that you may have an entirely different message for entering and exiting into a position, hitting a stop-loss or a take-profit target, changing trailing targets, etc. There are no restrictions, and this gives you great flexibility.
First of all, you have to enable the alerts of the events that interest you. Go to the “🔔 ALERT MESSAGES” module of the TTS settings and check the “Enable…” checkbox of the events you are interested in. For each specific event, you will find a text area where you can type the exact message you want to receive when the event occurs. What’s more, there are placeholders you can use that will be replaced by the TTS with the actual values before the message is sent. The placeholder categories are the following and the placeholder names are self-explanatory.
Chart info: {{ticker}}, {{base_currency}}, {{quote_currency}}
Quantities and percentages: {{base_quantity}}, {{quote_quantity}}, {{quote_quantity_perc}},
{{take_profit_base_quantity}}, {{remaining_quantity_perc}}, {{remaining_base_quantity}}, {{risk_perc}}
Target prices: {{stop_loss_price}}, {{entry_price}}, {{entry+_price}}, {{entry-_price}},
{{exit_price}}, {{exit+_price}}, {{exit-_price}}, {{take_profit_price_1}},
{{take_profit_price_2}}, {{take_profit_price_3}}, {{take_profit_price_4}}, {{take_profit_price_5}}
❗ To get the message on the other side you have to set a strategy alert as described here and use the {{strategy.order.alert_message}} placeholder as text in the “Message Box” that contains the message that came from the TTS.
💢 How to execute my orders in a broker ❓
To execute your orders in a broker that supports webhook integration, you should enable the appropriate alerts in the “Template Trailing Strategy” first (see the “How to set up Alerts?” guide above). Then you should go to the “Create Alert/Notifications” tab check the “Webhook URL” and paste the URL provided by your broker. You have to read the documentation of your broker for more information on what messages are expected.
Keep in mind that some brokers have deep integration with TradingView so a per-event alert approach might be overkill.
📑 Definitions
This section tries to give some definitions in terms that appear in the “Settings/Inputs" tab of the “Template Trailing Strategy”
💢 What is Trailing ❓
Trailing is a technique where a price target follows another “barrier” price (usually high or low) by trying to keep a maximum distance from the “barrier” when it moves in only one direction (up or down). When the “barrier” moves in the other direction the price target will not change. There are as many types of trailing as price targets, which means that there are entry trailing, exit trailing, stop-loss trailing, and take-profit trailing techniques.
💢 What is a Moonbag ❓
A Moonbag in a trade is the quantity of the position that is reserved and will not be exited even if all take-profit targets defined in the strategy are hit, the quantity will be exited only if the stop-loss is hit or a close signal is received. This makes the stop-loss trailing technique in a trend-following strategy a good candidate to take advantage of a Moonbag.
💢 What is Distance ❓
Distance is the difference between two prices.
💢 What is Bias ❓
Bias is a psychological phenomenon where you make decisions based on market sentiment. For example, when you want to enter a long position you have a long bias, and when you want to exit from the long position you have a short bias. It is the other way around for the short position.
💢 What is the Margin Distance of a price target ❓
The Margin Distance of a price target is the distance that the target will deviate from its initial price. The direction of this deviation depends on the bias of the market. For example, suppose you are in a long position, and you set a take-profit target to the local high (HHLL). In that case, adding a margin of five ticks will place your take-profit target 5 ticks below this local high because you have a short bias when exiting a long position. When the bias is long the margin will be added resulting in a higher target price and when you have a short bias the margin will be subtracted.
⚙️ Settings
In the “Settings/Inputs” tab of the “Template Trailing Strategy”, you can find all the customizable settings that are provided by the framework. The variety of those settings is vast; hence we will only scratch the surface here. However, for every setting, there is an information icon 🛈 where you can learn more if you mouse over it. The “Settings/Inputs” tab is divided into ten main groups. Each one of them is responsible for one module of the framework. Every setting is part of a group that is named after the module it represents. So, to spot the module of a setting find the title that appears above it comes with an emoji and uppercase letters. Some settings might have the same name but belong to different modules e.g. “Distance Method”. Some settings are indented, which means that are closely related to the non-indented setting above. Usually, intended settings provide further configuration for one or more options of the non-intended setting. The groups that correspond to each module of the framework are the following:
📆 FILTERS
In this module time filters are implemented. You can define a DateTime window for your strategy to run. You can also specify a session by selecting the days of the week and the time range you want to operate.
🛠️ STRATEGY
This module contains the "𝐃𝐞𝐚𝐥 𝐂𝐨𝐧𝐝𝐢𝐭𝐢𝐨𝐧𝐬 𝐌𝐨𝐝𝐞" that defines if the “Template Trailing Strategy” will operate using the Internal or the External (“Signal Indicator”) conditions. Some general settings can be applied regardless of the mode.
🔨 STRATEGY – EXTERNAL
This sub-module makes the connection between the external signal of the “Signal Indicator” and the “Template Trailing Strategy”. It takes effect only if the "𝐃𝐞𝐚𝐥 𝐂𝐨𝐧𝐝𝐢𝐭𝐢𝐨𝐧𝐬 𝐌𝐨𝐝𝐞" is set to “🔨External”.
🔧 STRATEGY – INTERNAL
This sub-module defines the internal strategy logic and it's used as an example to demonstrate this framework. It should produce the same results as if the “Two MA Signal Indicator” was used as a “signal” in external mode. It takes effect only if the "𝐃𝐞𝐚𝐥 𝐂𝐨𝐧𝐝𝐢𝐭𝐢𝐨𝐧𝐬 𝐌𝐨𝐝𝐞" is set to “🔧Internal”.
🎢 VOLATILITY
This module defines the volatility parameters that are used in various other settings like average true range and standard deviation. It also makes it clear whether their values are updated during a trade (DYNAMIC) or not (STATIC).
🔷 ENTRY
This module defines how the start deal conditions will be executed by defining the order type of your entry and all necessary parameters to execute them.
🎯 TAKE PROFIT
This module defines the take-profit targets placement logic. The number of the take-profit targets to use, their distance from the entry price, and the distance from each other are only some of the features that can be configured.
🛑 STOP LOSS
This module defines the stop-loss target placement logic. The distance from the entry price, move to break even, and start trailing after a take-profit target is hit are only some of the features that can be configured.
🟪 EXIT
This module defines how the end deal conditions will be executed by defining the order type of your exit and all necessary parameters to execute them.
💰 QUANTITY/RISK MANAGEMENT
This module defines the method that calculates the amount of money you will put into each trade. Also, the percentage of the Moonbag quantity can be configured.
📊 ANALYTICS
This module can visualize some extra analytics of the strategy in the chart and calculate some metrics to measure the overall performance.
🔔 ALERT MESSAGES
This module defines all the messages that can be emitted per event during the strategy execution.
😲 Caveats
💢 Does “Template Trailing Strategy” has a repainting behavior ❓
The answer is that the “Template Trailing Strategy” does not repaint as long as the “Signal Indicator” that is connected also does not repaint. If you developed your own SI make sure that you understand and know how to prevent this behavior. The publication by @PineCoders here will give you a good idea on how to avoid most of the repainting cases.
⚠️There is an exception though, when the “Enable Trail⚠️💹” checkbox is checked, the Take Profit trailing feature is enabled, and a tick-based approach is used, meaning that after a while, when the TradingView discards all the real-time data, assumptions will be made by the backtesting engine that will cause a form of repainting. To avoid making false assumptions please disable this feature in the early stages and evaluate its usefulness in your strategy later on, after first confirming the success of the logic without this feature. In this case, consider turning on the bar magnifier feature. This way you will get more accurate backtest results when the Take Profit trailing feature is enabled.
💢 Can “Template Trailing Strategy” satisfy all my trading strategies ❓
While this framework can satisfy quite a large number of trading strategies there are cases where it cannot do so. For example, if you have a custom logic for your stop-loss or take-profit placement, or if you want to dollar cost average, then it might be better to start a new strategy script from scratch.
⚠️ It is not recommended to copy the official TTS code and start developing unless you are a pine wizard! Even in that case, there is a stiff learning curve that might not be worth your time. Last, you must consider that I do not offer support for customized versions of the TTS script and if something goes wrong in the process you are all alone.
🤗 Thanks
Special thanks to @upslidedown and @metadimensional, who regularly gave feedback all those years and helped me to shape the framework as it is today! Thanks to @EltAlt, @PlusUltraTrading, and everyone else who contributed by either filing a “defect report” or asking questions that helped me to understand what improvements were necessary.
Enjoy!
Jason
[CBB] Volatility Squeeze ToyThe main concept and features of this script are adapted from Mark Whistler's book "Volatility Illuminated". I have deviated from the use cases and strategies presented in the book, but the 3 Bollinger Bands use his optimized settings as the default length and standard deviation multiplier. Further insights into Mark's concepts and volatility research were gained by reading and watching some of TV user DadShark's materials (www.tradingview.com).
This script has been through many refinements and feature cycles, and I've added unrelated complimentary features not present in the book. The indicator is better studied than described, and unless you have read the book, any short summary of the material will just make you squint and think about the wrong things.
Here is a limited outline of features and concepts:
1. 3 Bollinger Bands of different length and/or deviation multiplier. Perhaps think of them as representing the various time frames that compression and expansion cycles and events manifest in, and also the expression of range, speed and price distribution within those time frames. You can gain insight into the magnitude of events based on how the three bands interact and stay contained, or not. If volatility is significant enough, all "time frames" represented by the bands will eventually record the event and subsequent price action, but the early signals will come from the spasms of the shortest, most volatile band. Many times the short band will contract again before, or just as it reaches a longer band, but in extreme cases, volatility will explode and all bands at all time frames will erupt in succession. In these cases you will see additional color representing shorter bands (lower time frame volatility in concept) traveling outside of longer bands. It is worth taking a look at the price levels and candles where these volatility bands cross each other.
2. In addition to the mean of the bands, there are a variety of other moving averages available to gauge trend, range, and areas of interest. This is accomplished with variable VWAP, ATR, smoothing, and a special derived loosely from the difference between them.
3. The bands are also used to derive conditions under which volatility is considered compressed, or in "squeeze" . Under these conditions the candles will turn yellow. Depending on your chart settings and indicator settings, these zones can be completely useless or drag on through fairly significant price action. Or, the can give you fantastic levels to watch for breakouts. The point is that volatility is compressed during these conditions, and you should expect the inevitable once this condition ends. Sometimes you can find yourself in a nice fat trend straight away, other times you may blow an account because you gorged your position based on arbitrary bar color. It's not like that. Pay attention to the highest and lowest bars of these squeeze ranges, and carefully observe future price action when it returns to these squeeze ranges. This info is more and more valuable at higher time frames.
The 3 bands, a smoothed long trend VWAP, and the squeeze condition colored bars are all active by default. All features can be shown or hidden on the control panel.
There are some deep market insights to mine if you live with this one for a while. As with any indicator, blunt "buy/sell here" approaches will lead to loss and frustration. however , if you pay attention to squeeze range, band/moving average confluence, high volume and/or large range candles their open/close behavior around these areas and squeeze ranges, you will start to catch the beginning of some powerful momentum moves.
Enjoy!
S&P Sector Advance/Decline Weighted -Tom1traderEnjoy, enhance your trading (I hope), copy or adapt to your needs and keep smiling!
Thanks to @MartinShkreli. The sector variables and the "repaint" option (approx lines 20 through 32 of this script) are used directly from your script "Sectors"
RECOMMENDATION: Update the sector weightings -inputs are provided. They change as often as monthly and the
annual changes are certainly significant. When updating weighting percentages use the decimal value. I.E. 29% is .29
Good on any time frame. Especially SPY, SPX and ES scalpers and 0DTE options traders may like this a lot.
This gives good signals on S & P and related (ES, SPY) and indicates / plots differently than the AD line or ratio.
Each sector's entire % weight is added or subtracted depending of whether that sector advanced or declined.
Example: Information Tech weight at 29% so that % of 500 (145) is added if InfoTech is up a penny and subtracted if it is
down a penny. All sectors processed the same way so that for a given bar/candle the value will be between +500 (all
sectors up) and -500 (all sectors down). This weighted AD line of sectors is scaled to +/- 350 and plotted as a red/green line
along with aqua/fuchsia columns of its 5 period ema. The line is actual sector behavior and the columns seem to make a
good signal with column zero crosses standing out.
The columns aqua / fuchsia are a 5 period ema of the Sector AD line and give pretty good signals at
zero cross for SPX. I colored the AD red green line also to emphasize the times it opposes the ema
for example the histo/colums zero cross signal is NOT true when the AD line is showing all or most sectors
going the other way.
For readability, the AD line itself is scaled to 350. This lets the columns of the ema stand out better. The hlines at
350 and at 175 give an idea for the AD green red line how much of the sector's weight is up or down.
350 is all sectors up (advancing) and -350 is all sectors down (declining). The hlines at +/- 175 seem to outline
a more or less "neutral" zone. For example in an uptrend with most of the AD level positive and the columns positive;
a negative spike that does not pass the -175 line and returns positive does not seem to impact the price as much as
a deeper negative spike.
McDonald's Pattern [LuxAlgo]Tradingview asked, we delivered. This script fits a cubic Bezier curve using tops/bottoms in order to approximate a McDonalds pattern, a popular meme pattern in the crypto trading community.
Traditionally the McDonalds pattern is described by an M pattern with deep retracement (> 50%), forming a McDonalds logo.
Please note that this indicator is a meme & should not be taken seriously. Some aspects of this indicator are not real-time and meant for descriptive analysis alongside other components of this script, in this case, for entertainment purposes. We suggest looking through our other open-source scripts if you’re looking for more serious tools.
🔶 USAGE
The script fits Bezier curves using specific tops/bottoms as control points. When the distance between tops and bottoms values is relatively small, the user can more easily identify the pattern.
A score is shown on the top right of the chart, aiming to return how close the returned pattern is to the original logo.
A regular Mcdonalds pattern would return a red background, while an inverted pattern would return a green one.
🔶 SETTINGS
Length: Sensitivity of tops/bottoms detection. The method does not make use of pivot points, using rolling maximums/minimums instead.
Use First Bar As Vertex: Use the price and bar index of the last bar as vertex.
Silen's Financials Fair ValueIt is finally here! 🔥 My 3rd and most important script in my Financial series! 🚀
Ever imagined to see all fundamentals (or many that is) combined into one indicator that is right on your chart, showing you how your favorite stock is trading compared to its fundamentals?
Well, here is your answer! 📡
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This script shows you my own personal interpretation of fair value, based solely on the financial fundamentals of a company compared to market averages.
I don't believe that certain sectors of the market should be priced higher than others. If you look at historical data you'll see that favored sectors always rotate - placing insanely high P/E multiples on some sectors. Once they are "out" and people rotate away from those sectors you're left with nothing but the naked fundamentals that matter. So, you'll see many companies, that have been doing well on paper, see their share price decline by 70-90% for no other reasons than people favoring other sectors.
That's why it's even more important to focus on fair value that is solely fundamentals-based. Know when your stock gets to expensive. 🤯
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To give you some examples:
- Most Megacaps trade at historically high valuations, several times my fair value. Those include AAPL, MSFT, NVDA, AMZN, TSLA, JPM, TSM, V and so on. And no, in the past they partially traded below (my) fair value.
- Most Cybersecurity / Cloud companies are trading at truly massive multiples of my fair value. (NET, DDOG, etc)
- Many Smallcaps & Midcaps are trading several multiples (OESX, CODX, QFIN) below my fair value. And no, in the past they partially traded above (my) fair value.
Ok, so much about the market. You ultimately decide how much you want to orientate on fair value. 👨🏫
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This fair value indicator (purple line):
Takes the P/E rate of the company and compares it to the market (50% weight)
Takes the P/S rate of the company and compares it to the market (50% weight)
Then adds boni and mali f or debt/equity rates and debt and equity itself
Also looks at past growth and calculates future P/E and P/S rates which adds , in some cases, value to the fair value (green line)
Also compares how historical valuations have behaved compared to fair value and simulates a fair value guideline (dark blue line)
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This script is part 3️⃣ of a series of indicators that work well together.
Script 1️⃣ of the series is:
P/E & P/S Rates
Script 2️⃣ of the series is:
Debt & Equity
If you use all 3 scripts together it will look like this, giving you truly deep and simple information about the fundamentals of a company:
Example 1 - AMD
Example 2 - HZO
Example 3 - APPS
I hope this script makes your investing and stock picks a lot easier! 🔆💹🕗
Disclaimer: Fair value is always subjective. There are many different approaches to fair value. This one is only my personal interpretation.
Disclaimer 2: This script works only for the Day-Timeframe.
Disclaimer 3: This script uses 17,5 P/E and 3,0 P/S as market averages. The actual average keeps changing but, historically speaking, these seemed to be good numbers.
Feel free to share your thoughts and feedback! 🙃
Levels Of Greed
The Levels Of Greed indicator is based on the same idea as the Levels Of Fear one and was suggested by several traders in the comment section. It helps analyze price advances to find the best levels for closing a long position in an asset after a quick surge or longer up-trend. In finance, volatility is a term that describes the degree of variation of an asset price over time. It is usually denoted by the letter σ (sigma) and estimated as the standard deviation of the asset price or price returns. The Levels Of Greed indicator helps measure the current price advance in the standard deviation units. It plots seven levels at distances of 1, 2, 3, 4, 5, 6, and 7 standard deviations (sigmas) above the base price (the recent lowest price or lower bound of the established range). In what follows, we will refer to these levels as levels of greed.
HOW TO USE
When the price in its surge reaches a certain level of greed, it means that it has surged from its recent lowest value by a corresponding number of standard deviations. The indicator helps traders see the maximum levels to which the price may rise and estimate the potential height of the current surge. Five-seven sigma surges are relatively rare events and correspond to significant market exuberance. Careful traders and shorter-term ones would not want to participate in the bandwagon effect and herd behavior that drive market bubbles. They prefer to take their profits when the market is not exceedingly overbought.
SETTINGS
Window : the averaging window or period of the indicator. The algorithm uses this parameter to calculate the base level and standard deviations. Higher values are better for measuring deeper and longer surges.
Levels Stability : the parameter used in the up-move detection. The higher the value is, the more stable and long the greed levels are, but at the same time, the lag increases. The lower it is, the faster the indicator responds to the price changes, but the greed levels are recalculated more frequently and are less stable. This parameter is mostly for fine-tuning. It does not change the overall picture much.
Mode : the parameter that defines the style for the labels. In the Cool Guys Mode, the indicator displays the labels as emojis. In the Serious Guys Mode, labels show the distance from the base level measured in standard deviation units or sigmas.
Moving Average Suite + VWAP + TICKThis indicator combines some of the commonly used moving averages, VWAP, and TICK sentiment, all of which are useful for all types of trading
By default, this indicator includes:
- 21/50/100/200 period smoothed simple moving average
- great for determining trends
- also act as support / resistance line for price
- 9 period exponential moving average
- fast trend / direction indicator
- Volume Weighted Average Price
- no explanation required
- $TICK sentiment as background fill
- overall market sentiment and direction
- +/- 500 levels are colored green/red and are usually indication of institutional order flow --> critical for trading indexes such as SPY or QQQ
- deep green/red background indicates +/-1000 on the $TICK, which are usually associated with overbought or oversold
